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. Applicants should have demonstrable programming or scripting experience and the ability to develop and evaluate working software prototypes. Python is essential, and Houdini’s VEX is also relevant to the
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Engineering Process Engineering Or a closely related discipline A background in thermodynamics, energy systems, process modelling, programming, or simulation tools such as MATLAB, Python, Aspen Plus
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are looking for someone with a PhD or equivalent relevant experience in computer science, machine learning, medical imaging, biomedical engineering or a related discipline. You will have strong Python
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, or simulation tools such as MATLAB, Python, Aspen Plus, TRNSYS, or EES is desirable. Funding Package UKRI tax-free stipend (£21,805 per annum for 2026/27) Full tuition fee support Research Training
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Python programming experience Have familiarity with at least one LLM framework or API (Hugging Face, llama.cpp) Have solid software-engineering and version-control (Git) practice To be successful at
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transport processes in minewater systems, with additional model development and customisation undertaken in MATLAB or Python to extend capabilities and explore sensitivity analyses. Experimental data from
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), data science, and strong computational/statistical skills in Python or MATLAB are essential, as are excellent communication and collaboration skills. Interdisciplinary interests are particularly
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, stochastic processes or Monte Carlo methods is helpful but not essential. Some programming experience, for example in Python or R, is an advantage, and applicants should be willing to develop it during the
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proficiency in programming (preferably Python) are essential. Prior exposure to one or more of the following: machine learning, information security, modern crypto systems will be an advantage
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, Applied Mathematics or a closely related field. A strong mathematical background (probability, linear algebra, optimisation) and proficiency in programming (preferably Python/Matlab) are essential. Prior